Hostname: page-component-cd9895bd7-dzt6s Total loading time: 0 Render date: 2024-12-26T20:55:26.217Z Has data issue: false hasContentIssue false

Extension of QSQH theory of scale interaction in near-wall turbulence to all velocity components

Published online by Cambridge University Press:  19 April 2021

Sergei Chernyshenko*
Affiliation:
Department of Aeronautics, Imperial College London, LondonSW7 2AZ, UK
*
Email address for correspondence: s.chernyshenko@imperial.ac.uk

Abstract

The QSQH theory is extended to all three velocity components taking into account the fluctuations of the direction of the large-scale component of the wall friction. This effect is found to be significant. It explains the large sensitivity of the fluctuations of longitudinal and spanwise velocities to variations in the Reynolds number in comparison with the sensitivity of the mean velocity, the Reynolds stress and the wall-normal velocity fluctuations. The analysis shows that the variation of the longitudinal velocity fluctuations with the Reynolds number is dominated by the variation of the amplitude and wall-normal-scale modulation of the universal mean velocity profile by the outer, large-scale, Reynolds-number-dependent motions. The variation of spanwise velocity fluctuations is dominated by the fluctuations of the direction of the large-scale component of the wall friction. The Reynolds number dependence of the other second moments is not dominated by these mechanisms because the mean wall-normal velocity and the mean spanwise velocity are zero. Explicit relationships between the differences in the second moments of velocity in any two high-Reynolds-number near-wall flows were derived. The comparisons gave a satisfactory agreement for the root-mean square of the wall-parallel velocity components in the range of the distances from the wall where modulation by large-scale motions dominates. Relationships between the differences of the constants of the logarithmic law, the shape of the mean velocity profile and the differences of the second moments of velocity caused by the differences in large-scale motions were derived and estimated quantitatively.

Type
JFM Papers
Copyright
© The Author(s), 2021. Published by Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Agostini, L. & Leschziner, M. 2018 The impact of footprints of large-scale outer structures on the near-wall layer in the presence of drag-reducing spanwise wall motion. Flow Turbul. Combust. 100 (4), 10371061.CrossRefGoogle Scholar
Agostini, L. & Leschziner, M. 2019 a The connection between the spectrum of turbulent scales and the skin-friction statistics in channel flow at $Re_\tau \approx 1000$. J. Fluid Mech. 871, 2251.CrossRefGoogle Scholar
Agostini, L. & Leschziner, M. 2019 b On the departure of near-wall turbulence from the quasi-steady state. J. Fluid Mech. 871, R1.CrossRefGoogle Scholar
Agostini, L., Leschziner, M., Poggie, J., Bisek, N.J. & Gaitonde, D. 2017 Multi-scale interactions in a compressible boundary layer. J. Turbul. 18 (8), 760780.CrossRefGoogle Scholar
Agostini, L. & Leschziner, M.A. 2014 On the influence of outer large-scale structures on near-wall turbulence in channel flow. Phys. Fluids 26 (7), 075107.Google Scholar
Baars, W., Hutchins, N. & Marusic, I. 2017 Reynolds number trend of hierarchies and scale interactions in turbulent boundary layers. Phil. Trans. R. Soc. Lond. A 375, 20160077.Google ScholarPubMed
Baars, W.J., Hutchins, N. & Marusic, I. 2016 Spectral stochastic estimation of high-Reynolds-number wall-bounded turbulence for a refined inner-outer interaction model. Phys. Rev. Fluids 1, 054406.CrossRefGoogle Scholar
Baidya, R., Philip, J., Hutchins, N., Monty, J. & Marusic, I. 2012 Measurements of streamwise and spanwise fluctuating velocity components in a high Reynolds number turbulent boundary layer. In 18th Australasian Fluid Mechanics Conference. Leishman Associates.Google Scholar
Baidya, R., Philip, J., Hutchins, N., Monty, J.P. & Marusic, I. 2017 Distance-from-the-wall scaling of turbulent motions in wall-bounded flows. Phys. Fluids 29 (2), 020712.CrossRefGoogle Scholar
Chen, X. & Sreenivasan, K.R. 2021 Reynolds number scaling of the peak turbulence intensity in wall flows. J. Fluid Mech. 908, R3.CrossRefGoogle Scholar
Chernyshenko, S.I., Marusic, I. & Mathis, R. 2012 Quasi-steady description of modulation effects in wall turbulence. arXiv:1203.3714.Google Scholar
Chernyshenko, S.I., Zhang, C., Butt, H. & Beit-Sadi, M. 2019 A large-scale filter for applications of QSQH theory of scale interactions in near-wall turbulence. Fluid Dyn. Res. 51 (1), 011406.CrossRefGoogle Scholar
Dogan, E., Örlü, R., Gatti, D., Vinuesa, R. & Schlatter, P. 2018 Revisiting the amplitude modulation in wall-bounded turbulence: towards a robust definition. arXiv:1812.03683.CrossRefGoogle Scholar
Ganapathisubramani, B., Hutchins, N., Monty, J.P., Chung, D. & Marusic, I. 2012 Amplitude and frequency modulation effects in wall turbulence. J. Fluid Mech. 712, 6191.CrossRefGoogle Scholar
Howland, M.F. & Yang, X.I.A. 2018 Dependence of small-scale energetics on large scales in turbulent flows. J. Fluid Mech. 852, 641662.CrossRefGoogle Scholar
Hoyas, S. & Jiménez, J. 2006 Scaling of the velocity fluctuations in turbulent channels up to $Re_\tau = 2003$. Phys. Fluids 18, 011702.CrossRefGoogle Scholar
Huang, N., Shen, Z., Long, S.R., Wu, M.L.C., Shih, H.H., Zheng, Q., Yen, N.C., Tung, C.-C. & Liu, H.H. 1998 The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proc. R. Soc. Lond. A 454, 903995.CrossRefGoogle Scholar
Hultmark, M., Vallikivi, M., Bailey, S.C.C. & Smits, A.J. 2012 Turbulent pipe flow at extreme Reynolds numbers. Phys. Rev. Lett. 108 (9), 094501.CrossRefGoogle ScholarPubMed
Hutchins, N. & Marusic, I. 2007 Large-scale influences in near-wall turbulence. Phil. Trans. R. Soc. Lond. A 365, 647664.Google ScholarPubMed
Lee, M. & Moser, R.D. 2015 Direct numerical simulation of turbulent channel flow up to $Re_\tau =5200$. J. Fluid Mech. 774, 395415.CrossRefGoogle Scholar
Lozier, M., Midya, S., Thomas, F.O. & Gordeyev, S. 2019 Experimental studies of boundary layer dynamics using active flow control of large-scale atructures. In 11th International Symposium on Turbulence and Shear Flow Phenomena (TSFP11), Southampton, UK.Google Scholar
Luchini, P. 2017 Universality of the turbulent velocity profile. Phys. Rev. Lett. 118 (22), 224501.CrossRefGoogle ScholarPubMed
Marusic, I., Mathis, R. & Hutchins, N. 2010 a Predictive model for wall-bounded turbulent flow. Science 329 (5988), 193196.Google ScholarPubMed
Marusic, I., McKeon, B.J., Monkewitz, P.A., Nagib, H.M., Smits, A.J. & Sreenivasan, K.R. 2010 b Wall-bounded turbulent flows at high Reynolds numbers: recent advances and key issues. Phys. Fluids 22, 065103.CrossRefGoogle Scholar
Marusic, I., Monty, J.P., Hultmark, M. & Smits, A.J. 2013 On the logarithmic region in wall turbulence. J. Fluid Mech. 716, R3.CrossRefGoogle Scholar
Mathis, R., Hutchins, N. & Marusic, I. 2009 Large-scale amplitude modulation of the small-scale structures in turbulent boundary layers. J. Fluid Mech. 628, 311337.CrossRefGoogle Scholar
Pope, S.B. & Pope, S.B. 2000 Turbulent Flows. Cambridge University Press.CrossRefGoogle Scholar
Rao, K.N., Narasimha, R. & Narayanan, M.A.B. 1971 The “bursting” phenomenon in a turbulent boundary layer. J. Fluid Mech. 48, 339352.CrossRefGoogle Scholar
Smits, A.J., McKeon, B.J. & Marusic, I. 2011 High-Reynolds number wall turbulence. Annu. Rev. Fluid Mech. 43, 353375.CrossRefGoogle Scholar
Talluru, K.M., Baidya, R., Hutchins, N. & Marusic, I. 2014 Amplitude modulation of all three velocity components in turbulent boundary layers. J. Fluid Mech. 746, R1.CrossRefGoogle Scholar
Townsend, A.A.R. 1980 The Structure of Turbulent Shear Flow. Cambridge University Press.Google Scholar
Townsend, A.A. 1961 Equilibrium layers and wall turbulence. J. Fluid Mech. 11 (1), 97120.CrossRefGoogle Scholar
Yang, X.I.A., Marusic, I. & Meneveau, C. 2016 Hierarchical random additive process and logarithmic scaling of generalized high order, two-point correlations in turbulent boundary layer flow. Phys. Rev. Fluids 1, 024402.CrossRefGoogle Scholar
Zhang, C. 2019 Quasi-steady quasi-homogenous (QSQH) theory of the relationship between large-scale and small-scale motions in near-wall turbulence. PhD thesis, Imperial College London, supervisors Chernyshenko, S. and Leschziner, M.Google Scholar
Zhang, C. & Chernyshenko, S.I. 2016 Quasisteady quasihomogeneous description of the scale interactions in near-wall turbulence. Phys. Rev. Fluids 1, 014401.CrossRefGoogle Scholar
Supplementary material: File

Chernyshenko supplementary material

Chernyshenko supplementary material

Download Chernyshenko supplementary material(File)
File 352.8 KB